open source Archivi - Page 2 of 2

Luigi Freda

Robotics & Computer Vision Engineer, PhD

Itseez Acquired by Intel

28 May 2016 luigi 0 Comments business, computer vision, open source

OpenCV originated at Intel, and is now back at Intel. People wonder about the possibility that OpenCV can stop beeing

Machine Learning Posts Robotics Sensors

Autonomous Mini Rally Car Teaches Itself to Powerslide

24 May 2016 luigi 0 Comments machine-learning, open source, robotics, sensor-based motion planning

In this work from Georgia Tech, researchers have developed a control algorithm that allows small-scale autonomous cars to drive autonomously around

Computer Vision Posts Robotics Sensors

OKVIS: Open Keyframe-based Visual Inertial SLAM

23 April 201625 August 2016 luigi 0 Comments computer vision, inertial, open source, sensors, SLAM, visual localization

Computer Vision Posts Robotics

Stereo ORB-SLAM2 in the EuRoC MAV Dataset

23 April 201625 August 2016 luigi 0 Comments 3D reconstruction, computer vision, dataset, features, mapping, open source, place recognition, SLAM, visual localization

Computer Vision Posts

OpenMORA Stereo Odometry

17 April 201617 April 2016 luigi 0 Comments computer vision, open source, SLAM

Computer Vision Posts

Realtime Edge Based Visual Odometry for a Monocular Camera

11 April 201613 April 2016 luigi 0 Comments computer vision, open source, SLAM

An interesting work on edge-based visual odometry: the REBVO method was presented at ICCV’15 Tarrio, J. J., & Pedre, S.

3dpatrolling code: https://github.com/luigifreda/3dpatrolling webpage: https://sites.google.com/a/dis.uniroma1.it/3d-cc-patrolling/ This repository provides part of the C++ implementation behind our paper titled “3D Multi-Robot Patrolling with

Research

My research focuses on robot perception, deep learning, sensor-based motion planning, and control systems. What I love most are computer

Machine Learning Posts

15 Deep-Learning Libraries

5 April 20165 June 2016 luigi 0 Comments deep-learning, machine-learning, open source

This page contains a collection of 15 deep-learning libraries. Here you can find another collection, sorted by language.